Tao Han
- Computer Networks and Communications top 0.5%
- Electrical and Electronic Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Co-authors
- Nirwan AnsariQiang LiuNing ZhangXueqing HuangJingjing YaoFatima SalahdineSiqi HuangHuici Wu
- Topics
- Advanced MIMO Systems Optimization (40 papers)IoT and Edge/Fog Computing (23 papers)Cooperative Communication and Network Coding (23 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE Communications Surveys & TutorialsIEEE Access
- Partner nations
- United StatesChinaCanada
In The Last Decade
Tao Han
123 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 99
- Computer Networks and Communications 1.9k
- Electrical and Electronic Engineering 1.8k
- Computer Vision and Pattern Recognition 412
- Artificial Intelligence 386
- Information Systems 286
Countries citing papers authored by Tao Han
This map shows the geographic impact of Tao Han's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tao Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Han more than expected).
Fields of papers citing papers by Tao Han
This network shows the impact of papers produced by Tao Han. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tao Han. The network helps show where Tao Han may publish in the future.
Co-authorship network of co-authors of Tao Han
This figure shows the co-authorship network connecting the top 25 collaborators of Tao Han. A scholar is included among the top collaborators of Tao Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tao Han. Tao Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 78 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 104 | |
| 12 | 46 | |
| 13 | 26 | |
| 14 | 1 | |
| 15 | 48 | |
| 16 | 25 | |
| 17 | 2 | |
| 18 | 153 | |
| 19 | 41 | |
| 20 | 10 |
About Tao Han
Tao Han is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 135 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (40 papers), IoT and Edge/Fog Computing (23 papers) and Cooperative Communication and Network Coding (23 papers). The work is most often cited by research in Computer Networks and Communications (1.9k citations), Electrical and Electronic Engineering (1.8k citations) and Computer Vision and Pattern Recognition (412 citations). Tao Han has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Nirwan Ansari, Qiang Liu, Ning Zhang, Xueqing Huang, Jingjing Yao, Fatima Salahdine, Siqi Huang, Huici Wu, Laha Ale and Dajiang Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.